PUT Drug Discovery Section

A student research section focused on AI-driven and computational approaches to drug discovery, with an emphasis on antibacterial applications.

We are currently exploring early-stage workflows around E. coli-related targets, including synthetic data generation and methods designed for low-data settings.

Our goal is to develop practical pipelines that connect computational modeling with experimental validation in the lab.